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Kun Zhou
Kun Zhou
UCSD Postdoctoral Researcher, RUC Ph.D
Verified email at pku.edu.cn - Homepage
Title
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Cited by
Year
A survey of large language models
WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou, Y Min, B Zhang, J Zhang, ...
arXiv preprint arXiv:2303.18223, 2023
2719*2023
S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization
K Zhou, H Wang, WX Zhao, Y Zhu, S Wang, F Zhang, Z Wang, JR Wen
Proceedings of the 29th ACM international conference on information …, 2020
6802020
Evaluating object hallucination in large vision-language models
Y Li, Y Du, K Zhou, J Wang, WX Zhao, JR Wen
arXiv preprint arXiv:2305.10355, 2023
3912023
Improving conversational recommender systems via knowledge graph based semantic fusion
K Zhou, WX Zhao, S Bian, Y Zhou, JR Wen, J Yu
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
3172020
Multi-modal knowledge graphs for recommender systems
R Sun, X Cao, Y Zhao, J Wan, K Zhou, F Zhang, Z Wang, K Zheng
Proceedings of the 29th ACM international conference on information …, 2020
2432020
Filter-enhanced MLP is all you need for sequential recommendation
K Zhou, H Yu, WX Zhao, JR Wen
Proceedings of the ACM web conference 2022, 2388-2399, 2022
1932022
Towards topic-guided conversational recommender system
K Zhou, Y Zhou, WX Zhao, X Wang, JR Wen
Proceedings of the 28th International Conference on Computational …, 2020
1812020
Structgpt: A general framework for large language model to reason over structured data
J Jiang, K Zhou, Z Dong, K Ye, WX Zhao, JR Wen
arXiv preprint arXiv:2305.09645, 2023
1342023
Debiased contrastive learning of unsupervised sentence representations
K Zhou, B Zhang, WX Zhao, JR Wen
arXiv preprint arXiv:2205.00656, 2022
982022
Towards unified conversational recommender systems via knowledge-enhanced prompt learning
X Wang, K Zhou, JR Wen, WX Zhao
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
962022
Don't make your llm an evaluation benchmark cheater
K Zhou, Y Zhu, Z Chen, W Chen, WX Zhao, X Chen, Y Lin, JR Wen, J Han
arXiv preprint arXiv:2311.01964, 2023
802023
C²-crs: Coarse-to-fine contrastive learning for conversational recommender system
Y Zhou, K Zhou, WX Zhao, C Wang, P Jiang, H Hu
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
562022
CRSLab: An open-source toolkit for building conversational recommender system
K Zhou, X Wang, Y Zhou, C Shang, Y Cheng, WX Zhao, Y Li, JR Wen
arXiv preprint arXiv:2101.00939, 2021
532021
Learning to match jobs with resumes from sparse interaction data using multi-view co-teaching network
S Bian, X Chen, WX Zhao, K Zhou, Y Hou, Y Song, T Zhang, JR Wen
Proceedings of the 29th ACM International Conference on Information …, 2020
522020
Contrastive curriculum learning for sequential user behavior modeling via data augmentation
S Bian, WX Zhao, K Zhou, J Cai, Y He, C Yin, JR Wen
Proceedings of the 30th ACM International Conference on Information …, 2021
412021
Chatcot: Tool-augmented chain-of-thought reasoning on chat-based large language models
Z Chen, K Zhou, B Zhang, Z Gong, WX Zhao, JR Wen
arXiv preprint arXiv:2305.14323, 2023
362023
Unikgqa: Unified retrieval and reasoning for solving multi-hop question answering over knowledge graph
J Jiang, K Zhou, WX Zhao, JR Wen
arXiv preprint arXiv:2212.00959, 2022
342022
Leveraging historical interaction data for improving conversational recommender system
K Zhou, WX Zhao, H Wang, S Wang, F Zhang, Z Wang, JR Wen
Proceedings of the 29th ACM international conference on information …, 2020
322020
Unsupervised context rewriting for open domain conversation
K Zhou, K Zhang, Y Wu, S Liu, J Yu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
322019
Simans: Simple ambiguous negatives sampling for dense text retrieval
K Zhou, Y Gong, X Liu, WX Zhao, Y Shen, A Dong, J Lu, R Majumder, ...
arXiv preprint arXiv:2210.11773, 2022
312022
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